@article{ART003169014},
author={Minhyung Ryu and Jaegoo Shim},
title={A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={1},
pages={53-63}
TY - JOUR
AU - Minhyung Ryu
AU - Jaegoo Shim
TI - A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 1
PB - The Korean Society Of Computer And Information
SP - 53
EP - 63
SN - 1598-849X
AB - This paper proposes the development of a lightweight AI-based fall detection system that can operate efficiently in low-spec hardware environments. Existing fall detection research has often relied on high-performance GPU environments or focused solely on detection accuracy, without adequately addressing processing speed and hardware limitations. To overcome these challenges, this study utilizes MediaPipe, a GPU-independent framework, combined with data analysis-based machine learning models, to design a system that requires minimal computational resources while ensuring fast and accurate fall detection. Experimental results demonstrate that the proposed model outperforms GPU-based models in terms of training and inference speed, while also delivering competitive detection performance. This research presents a promising approach to reducing dependency on high-cost hardware, thereby maximizing the practicality of fall detection systems in real-world scenarios.
KW - fall detection;lightweight AI;low-spec hardware;machine vision;health care
DO -
UR -
ER -
Minhyung Ryu and Jaegoo Shim. (2025). A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation. Journal of The Korea Society of Computer and Information, 30(1), 53-63.
Minhyung Ryu and Jaegoo Shim. 2025, "A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation", Journal of The Korea Society of Computer and Information, vol.30, no.1 pp.53-63.
Minhyung Ryu, Jaegoo Shim "A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation" Journal of The Korea Society of Computer and Information 30.1 pp.53-63 (2025) : 53.
Minhyung Ryu, Jaegoo Shim. A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation. 2025; 30(1), 53-63.
Minhyung Ryu and Jaegoo Shim. "A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation" Journal of The Korea Society of Computer and Information 30, no.1 (2025) : 53-63.
Minhyung Ryu; Jaegoo Shim. A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation. Journal of The Korea Society of Computer and Information, 30(1), 53-63.
Minhyung Ryu; Jaegoo Shim. A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation. Journal of The Korea Society of Computer and Information. 2025; 30(1) 53-63.
Minhyung Ryu, Jaegoo Shim. A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation. 2025; 30(1), 53-63.
Minhyung Ryu and Jaegoo Shim. "A Practical Approach to Fall Detection: Lightweight AI for Low-Cost Implementation" Journal of The Korea Society of Computer and Information 30, no.1 (2025) : 53-63.
